Triple
T17247479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Fools and Horses |
E418664
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Boycie
Boycie is a snobbish, smooth-talking second-hand car dealer and recurring comic character from the British sitcom "Only Fools and Horses."
|
E1259198
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Boycie | Statement: [Only Fools and Horses, hasMainCharacter, Boycie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boycie Context triple: [Only Fools and Horses, hasMainCharacter, Boycie]
-
A.
Neon Boys
Neon Boys was an early 1970s New York City proto-punk band that served as a precursor to the influential group Television.
-
B.
Boys Noize
Boys Noize is a German electronic music producer and DJ known for his hard-hitting techno, electro, and house tracks as well as high-profile collaborations and remixes.
-
C.
Dunbeg
Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
-
D.
Yelle
Yelle is a French electropop band known for its energetic, dance-oriented sound and playful, French-language lyrics.
-
E.
Krewella
Krewella is an American electronic dance music group known for their energetic dubstep- and electro house-influenced tracks and festival performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Boycie Triple: [Only Fools and Horses, hasMainCharacter, Boycie]
Generated description
Boycie is a snobbish, smooth-talking second-hand car dealer and recurring comic character from the British sitcom "Only Fools and Horses."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boycie Target entity description: Boycie is a snobbish, smooth-talking second-hand car dealer and recurring comic character from the British sitcom "Only Fools and Horses."
-
A.
Neon Boys
Neon Boys was an early 1970s New York City proto-punk band that served as a precursor to the influential group Television.
-
B.
Boys Noize
Boys Noize is a German electronic music producer and DJ known for his hard-hitting techno, electro, and house tracks as well as high-profile collaborations and remixes.
-
C.
Dunbeg
Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
-
D.
Yelle
Yelle is a French electropop band known for its energetic, dance-oriented sound and playful, French-language lyrics.
-
E.
Krewella
Krewella is an American electronic dance music group known for their energetic dubstep- and electro house-influenced tracks and festival performances.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01726ae14081909d11434e378d3e1c |
completed | May 11, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017525d8108190b2fff7d96beff345 |
completed | May 11, 2026, 6:20 a.m. |
Created at: April 10, 2026, 5:39 a.m.